Vision-Based Airbag Enablement

2. The apparatus of claim 1, further comprising a seat weight sensor providing a sensed weight of the seated passenger, wherein the height attribute module further comprises fusion of the sensed weight of the seated passenger.

3. The apparatus of claim 1, wherein the controller further uses a pose model to determine a pose of the seated passenger in the seating area of the vehicle appearing in the two-dimensional image, the pose model having been trained on mesh poses reconstructed from the segmented two-dimensional training images.

4. The apparatus of claim 1, wherein the controller further uses a segmentation model performing background segmentation of the two-dimensional images to provide segmented two-dimensional images to the height attribute model, the segmentation model having been trained on the segmented two-dimensional training images, wherein the segmented two-dimensional training images are produced based upon pairs of simultaneously captured two-dimensional and three-dimensional training images.

5. The apparatus of claim 3, wherein the controller further uses a segmentation model performing background segmentation of the two-dimensional images to provide segmented two-dimensional images to the height attribute model and the pose model, the segmentation model having been trained on the segmented two-dimensional training images, wherein the segmented two-dimensional training images are produced based upon pairs of simultaneously captured two-dimensional and three-dimensional training images.

6. The apparatus of claim 2, wherein the controller enabling deployment of an airbag based upon the determined seated height of the seated passenger further enables deployment of the airbag based upon the seated passenger weight.

8. The apparatus of claim 7, wherein the machine learning models comprise neural networks.

12. The apparatus of claim 11, wherein the segmented two-dimensional training images are subjected to a two-dimensional skeleton extraction to produce two-dimensional skeletons projected upon three-dimensional training images corresponding to the segmented two-dimensional training images to produce the three-dimensional skeletons.

14. The method of claim 13, further comprising disabling deployment of the airbag based at least in part upon the determined seated height of the passenger with an acceptable pose failing predetermined height requirements.

15. The method of claim 13, further comprising disabling deployment of the airbag based upon the segmented two-dimensional image classifying as not a passenger with an acceptable pose.

16. The method of claim 13, further comprising sensing weight on a seat in the seating area, wherein enabling deployment of the airbag is further based at least in part upon the sensed weight on the seat.

17. The method of claim 14, further comprising sensing weight on a seat in the seating area, wherein disabling deployment of the airbag is further based at least in part upon the sensed weight on the seat.

18. The method of claim 13, wherein each of the segmentation model, the pose model and the height attribute model comprises an offline trained neural network.